Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4B21B7296C0050EA27383A1FB6133E6D174565CAA75D00CADBA82C127E7C75E47BBF8 |
|
CONTENT
ssdeep
|
384:JfbVP/Mh5WL4jSSJ1MjwNi+NKL9fvuu+zcXZgJaIr:JfbVszWL4GSJ+jwN1ABuGXOl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90b09f6b6a6e68d4 |
|
VISUAL
aHash
|
c06fce40fe00545e |
|
VISUAL
dHash
|
ba9c9ca4ac82c494 |
|
VISUAL
wHash
|
c2fffe40fe007e00 |
|
VISUAL
colorHash
|
30000250000 |
|
VISUAL
cropResistant
|
cbccaab2da5b73e1,ba9c9ca4ac82c494 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 46 techniques to evade detection by security scanners and make reverse engineering more difficult.